Textile and Apparel Industries

Analysis of Gucci Runway Images Using an Artificial Intelligence Based Visual Search Tool: A Comparison of Fashion Styles by Creative Directors

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Abstract

This study applies an artificial intelligence (A.I.) based visual search tool to analyze runway images. The purpose of this study is to explore the applicability of A.I. based visual search tools in the analysis of fashion styles. The study also selected Gucci collection runway images for analyzing fashion styles by creative directors. This study categorized fashion styles through academic studies as well as current online references, and input 8,739 fashion images of representative style categories to develop a visual search model. Secondly, an empirical evaluation was conducted on the Gucci collection during the fashion style analysis process. A total of 193 runway images from Frida Giannini’s 2014 FW and 2015 SS seasons and Alessandro Michele’s 2015 FW and 2016 SS seasons were collected from Vogue.com, and the fashion styles were categorized and compared through the developed visual search model. As a result of comparing the differences between the fashion styles derived from each creative director,2014 FW and 2015 SS collections directed by Frida Giannini showed ‘modern’,‘minimal’, ‘elegant’, and ‘sophisticated’ fashion styles, while the collections directed by Alessandro Michele showed ‘androgynous’, ‘hippie’, ‘romantic’, and‘retro’ fashion styles.

Keywords: Runway, Visual Search Tool, Fashion Styles, Gucci, Artificial Intelligence

How to Cite:

Jung, D., An, H. & Park, M., (2019) “Analysis of Gucci Runway Images Using an Artificial Intelligence Based Visual Search Tool: A Comparison of Fashion Styles by Creative Directors”, International Textile and Apparel Association Annual Conference Proceedings 76(1). doi: https://doi.org/10.31274/itaa.8264